Fold 0
Model 0 best validation mae = 0.120839 on epoch 29
Model 0 test mae = 0.119489
Ensemble test mae = 0.119489
Fold 1
Model 0 best validation mae = 0.120657 on epoch 29
Model 0 test mae = 0.119513
Ensemble test mae = 0.119513
Fold 2
Model 0 best validation mae = 0.121186 on epoch 28
Model 0 test mae = 0.119969
Ensemble test mae = 0.119969
Fold 3
Model 0 best validation mae = 0.120950 on epoch 27
Model 0 test mae = 0.119205
Ensemble test mae = 0.119205
Fold 4
Model 0 best validation mae = 0.120540 on epoch 29
Model 0 test mae = 0.119779
Ensemble test mae = 0.119779
Fold 5
Model 0 best validation mae = 0.120490 on epoch 24
Model 0 test mae = 0.119689
Ensemble test mae = 0.119689
Fold 6
Model 0 best validation mae = 0.120577 on epoch 29
Model 0 test mae = 0.119483
Ensemble test mae = 0.119483
Fold 7
Model 0 best validation mae = 0.120709 on epoch 28
Model 0 test mae = 0.119594
Ensemble test mae = 0.119594
Fold 8
Model 0 best validation mae = 0.120588 on epoch 29
Model 0 test mae = 0.119693
Ensemble test mae = 0.119693
Fold 9
Model 0 best validation mae = 0.120738 on epoch 27
Model 0 test mae = 0.119646
Ensemble test mae = 0.119646
10-fold cross validation
	Seed 0 ==> test mae = 0.119489
	Seed 1 ==> test mae = 0.119513
	Seed 2 ==> test mae = 0.119969
	Seed 3 ==> test mae = 0.119205
	Seed 4 ==> test mae = 0.119779
	Seed 5 ==> test mae = 0.119689
	Seed 6 ==> test mae = 0.119483
	Seed 7 ==> test mae = 0.119594
	Seed 8 ==> test mae = 0.119693
	Seed 9 ==> test mae = 0.119646
Overall test mae = 0.119606 +/- 0.000194
Elapsed time = 4:41:06
